Abstract: Disclosed herein, a driver assistance apparatus includes a detector installed in a vehicle, the detector having a view in front of a vehicle and configured to obtain detection data; and a controller including a processor configured to process the detection data; wherein the controller is configured to identify operation of a wiper of the vehicle and calculate a slip rate of the vehicle with respect to a road surface while performing an adaptive cruise control (ACC) that maintains a distance with a vehicle in front at a first distance based on the detection data, and control a driving of the vehicle to maintain the distance with the vehicle in front to a second distance greater than the first distance based on the operation of the wiper and the slip rate.

Abstract: An apparatus for controlling an autonomous vehicle brake, including a first brake controller configured to control a brake module of an autonomous vehicle by receiving a deceleration command from an autonomous controller for controlling autonomous driving of the autonomous vehicle, and a second brake controller configured to control the brake module of the autonomous vehicle by receiving a deceleration command from the autonomous controller. The first and second brake controllers exchange monitoring information with each other in a predetermined communication manner to monitor an operation state, so that control of the brake module is transferred according to the result of monitoring.

Abstract: A system and apparatus assists pilots and flight crews in determining the best course of action at any particular point inflight for any category of emergency. The system monitors a plurality of static and dynamic flight parameters including atmospheric conditions along the flight path, ground conditions and terrain, conditions aboard the aircraft, and pilot/crew data. Based on these parameters, the system may provide continually updated information to the pilot or crew about the best available landing sites or recommend solutions to aircraft configuration errors. In case of emergency, the system may provide the pilot with procedure sets associated with a hierarchy of available emergency landing sites (or execute these procedure sets via the autopilot system) depending on the specific nature of the emergency.

Abstract: Through-the-road (TTR) hybrid designs using control strategies such as an equivalent consumption minimization strategy (ECMS) or an adaptive ECMS are implemented at the supplemental torque delivering electrically-powered drive axle (or axles) in a manner that follows operational parameters or computationally estimates states of the primary drivetrain and/or fuel-fed engine, but does not itself participate in control of the fuel-fed engine or primary drivetrain. BSFC type data particular to the paired-with fuel-fed engine allows an ECMS implementation (or other similar control strategy) to adapt to efficiency curves for the particular fuel-fed engine and to improve overall efficiencies of the TTR hybrid configuration.

Abstract: The present invention provides systems and methods for providing error correction and management in a mobile-based crowdsourcing platform, specifically a platform providing geolocation services. More specifically, the system of the present invention includes a plurality of remote mobile devices configured to communicate and exchange data with a cloud-based service, such as a crowdsourcing platform. The crowdsourcing platform generally provides a geolocation service based on the crowdsourcing, or polling, of users of the mobile devices so as to determine location and movement of the users within a specific environment. The system is further configured to automatically render a floor plan or layout of a location based on the user data. The system is further configured to recognize and recalibrate data errors during the collection and aggregation of the crowd-sourced data.

Abstract: A method for providing a coast recommendation for an operator of a vehicle, including receiving vehicle position data; determining a projected route; determining a first speed change position and a first speed change target speed; determining a first residual speed and a first residual speed position based at least in part on the first speed change position and the first speed change target speed; determining a first lower speed envelope; determining an overall lower speed envelope based at least in part on the first residual speed; determining an upper speed envelope; determining a target speed profile based at least in part on the first residual speed, the first residual speed position, the first lower speed envelope, and the upper speed envelope; determining a coast start point based at least in part on the target speed profile; and communicating the coast start point to the operator of the vehicle.

Abstract: A vehicle control device includes a controller configured to control operation of a driving motor that is to output a driving force for a vehicle. The controller is switchable between a normal mode of controlling acceleration/deceleration based on a driver's acceleration/deceleration operation, and a cruise control mode of maintaining the vehicle speed at a target speed without the acceleration/deceleration operation. The controller is configured to, during the cruise control mode, calculate a torque command value for the motor by using integral control based on an integrated value of a deviation between the vehicle speed and the target speed, and execute an integrated-value adjustment process if the controller determines that the vehicle entered a flat road or an uphill road from a downhill road or a downhill road from a flat road or an uphill road. The process adjusts the integrated value to reduce an absolute value of the integrated value.

Abstract: A system for an autonomous vehicle that receives driving environment information corresponding to a driving environment provided by another autonomous vehicle, and determines a navigation route based on a degree of reliability of the driving environment information provided by the another autonomous vehicle.

Abstract: A vehicle control device includes: a speech acquiring section that acquires speech data related to a speech of a speaker; a state acquiring section that acquires information indicating whether or not a driver attempting to start driving a vehicle is in an intoxicated state based on the speech data; and a control section configured to limit a start operation of the vehicle in a case in which the information indicates that the driver is in the intoxicated state, the start operation being an operation performed by the driver with respect to the vehicle to start driving the vehicle.

Abstract: A representation of a first set of weights associated with a vehicle prior to a drive are received, the vehicle including a plurality of axles, a plurality of wheels attached to the plurality of axles, and a load. A warning is caused to be output in response to at least one weight from the first set of weights being outside a predetermined range. Longitudinal and lateral dynamics associated with the vehicle during the drive are determined. A second set of weights associated with at least one axle from the plurality of axles during the drive are determined. A determination is made if at least one remedial action should be performed based on the longitudinal dynamics, the lateral dynamics, and the second set of weights. In response to determining that the at least one remedial action should be performed, the at least one remedial action is caused to be performed.

Abstract: A wind tunnel test may be performed on a vehicle to determine accumulation of substances (e.g., water) on sensors of the vehicle. Control surfaces may be created for the sensors based images representing the accumulations, where the control surfaces represent the include obstructions located where accumulations were detected during the test. The vehicle may then navigate around an environment using the control surfaces in order to determine a drivability of the vehicle. Also, a simulation may be performed, where the simulation outputs images representing simulated accumulations on the sensors. The outputs from the simulation may be compared to the results from the test in order to determine how accurately the simulation represents the test, determine domains in which the vehicle may safely operate, and/or improve the simulation.

Abstract: A regenerative braking control method of a vehicle, may include a first operation of determining a driving risk of a road surface on the basis of a status of the road surface while driving; a second operation of determining whether an accelerator pedal is released while driving; a third operation of determining whether a brake pedal is operated while driving; and a fourth operation of performing no regenerative braking when the accelerator pedal is determined as being released, the driving risk of the road surface is determined as being high, and when the brake pedal is determined as not being operated.

Abstract: A vehicle control device executes a traveling control that controls traveling of an own vehicle to enable the own vehicle to follow a preceding vehicle traveling in front of the own vehicle. The vehicle control device includes: an environment prediction unit that predicts whether an adverse-effect change has occurred in a surrounding environment around the own vehicle, the adverse-effect change being likely to have an adverse effect on a fuel economy of the own vehicle; and an acceleration control unit configured to execute a prediction control that enables an acceleration of the own vehicle to be limited when the environment prediction unit predicts that the adverse-effect change has occurred in the surrounding environment.

Abstract: A control system for a vehicle is provided, which includes a driving force source configured to generate torque for driving drive wheels, a steering wheel, a steering angle sensor, and a controller. Based on the detected steering angle, the controller reduces the driving torque to add deceleration to the vehicle when the steering wheel is being turned in one direction, and increases the torque to add acceleration when the steering wheel is being turned back in the other direction. The controller controls the torque, when the steering wheel is being turned in the returning direction from a state where it is turned in the one direction, so as to add forward acceleration until the steering wheel returns to a neutral position, and when the steering wheel is then being turned in the other direction after passing through the neutral position, so as not to add the forward acceleration.

Abstract: A control method of a vehicle includes determining a look-ahead time, calculating a predicted passage position by using specific vehicle information having at least a position of a wheel at the current time point, velocity of the vehicle, and the proceeding direction of the vehicle, acquiring a road surface displacement-associated value at the predicted passage position, calculating a final target control force based on the road surface displacement-associated value at the predicted passage position, and controlling a control force generator based on the final target control force.

Abstract: A vehicle positioning method via data fusion and a system using the same are disclosed. The method is performed in a processor electrically connected to a self-driving-vehicle controller and multiple electronic systems. The method is to perform a delay correction according to a first real-time coordinate, a second real-time coordinate, real-time lane recognition data, multiple vehicle dynamic parameters, and multiple vehicle information received from the multiple electronic systems with their weigh values, to generate a fusion positioning coordinate, and to determine confidence indexes. Then, the method is to output the first real-time coordinate, the second real-time coordinate, and the real-time lane recognition data that are processed by the delay correction, the fusion positioning coordinate, and the confidence indexes to the self-driving-vehicle controller for a self-driving operation.

Abstract: Systems and methods for controlling a vehicle using operational constraints, including friction estimates are disclosed. Friction estimation include estimating a tire-road coefficient of friction using bins and envelopes. Bounding envelopes are configured to ensure that stability of the vehicle is maintained. The friction estimate is used to define the bounding envelopes. Further, the bounding envelopes are received as feedback into the friction estimation, itself. Based on the bounding envelope, the friction estimation can be adjusted. Then, the adjusted friction estimation can be fed back to reshape the bounding envelopes. Multiple bins can be used to evaluate an operating range of friction. Each bin can be used to compare actual vehicle dynamics with expected dynamics based on the estimation using the range assigned to that bin. Multiple bins and multiple controllers can run in parallel to re-estimate friction considering the vehicle dynamics over time.

Abstract: In exemplary embodiments, methods, systems, and vehicles are provided that include: one or more sensors disposed onboard a vehicle and configured to at least facilitate obtaining sensor data for the vehicle; one or more location systems configured to at least facilitate obtaining location data pertaining to a location of the vehicle; a computer memory configured to store map data pertaining to a path corresponding to the location; and a processor disposed onboard the vehicle and configured to at least facilitate: generating an elevation profile along the path using the sensor data and the map data; and providing instructions for controlling the vehicle using the elevation profile.

Abstract: In a vehicle control device, a switching hyperplane generation unit generates a switching hyperplane based on a travel state of a vehicle and cornering stiffness dependent on a travel surface state as a state of a road surface on which the vehicle travels. A deviation computation unit calculates a deviation between a target trajectory and an actual trajectory of the vehicle. A state estimation unit estimates a state to be controlled of the vehicle based on the deviation calculated by the deviation computation unit. A target steering angle and acceleration/deceleration computation unit calculates a target steering angle and a target acceleration/deceleration rate of the vehicle based on the switching hyperplane generated by the switching hyperplane generation unit and an estimated state as the state estimated by the state estimation unit.

Abstract: An aircraft includes a brake lever for receiving a pilot braking input as a lever travel of the brake lever, a braking wheel operatively coupled with the brake lever to brake the aircraft based on the lever travel, a brake actuator operatively coupled with the braking wheel to apply a braking force in response to a braking pressure provided to the brake actuator, and a brake pressure circuit. The brake pressure circuit is configured for: estimating a maximum braking pressure above which the braking wheel will skid with respect to a ground surface; scaling a lever gain of the brake lever to command the maximum braking pressure at a full travel of the brake lever such that a remaining brake lever travel indicates the amount of braking capability remaining for the aircraft; and braking the braking wheel based on the lever gain and the lever travel.